1 // SPDX-FileCopyrightText: Copyright (c) 2017-2024, HONEE contributors. 2 // SPDX-License-Identifier: Apache-2.0 OR BSD-2-Clause 3 4 #include "../qfunctions/sgs_dd_model.h" 5 6 #include <petscdmplex.h> 7 8 #include <navierstokes.h> 9 #include <sgs_model_torch.h> 10 11 typedef PetscErrorCode (*SgsDDNodalStressEval)(Honee honee, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc); 12 typedef PetscErrorCode (*SgsDDNodalStressInference)(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx); 13 typedef struct { 14 DM dm_sgs, dm_dd_inputs, dm_dd_outputs; 15 PetscInt num_comp_sgs, num_comp_inputs, num_comp_outputs; 16 OperatorApplyContext op_nodal_evaluation_ctx, op_nodal_dd_inputs_ctx, op_nodal_dd_outputs_ctx, op_sgs_apply_ctx; 17 CeedVector sgs_nodal_ceed, grad_velo_ceed; 18 SgsDDNodalStressEval sgs_nodal_eval; 19 SgsDDNodalStressInference sgs_nodal_inference; 20 void *sgs_nodal_inference_ctx; 21 PetscErrorCode (*sgs_nodal_inference_ctx_destroy)(void *ctx); 22 } *SgsDDData; 23 24 // @brief Destroy `SgsDDData` object 25 static PetscErrorCode SgsDDDataDestroy(SgsDDData *sgs_dd_data) { 26 SgsDDData sgs_dd_data_ = *sgs_dd_data; 27 28 PetscFunctionBeginUser; 29 if (!sgs_dd_data_) PetscFunctionReturn(PETSC_SUCCESS); 30 Ceed ceed = sgs_dd_data_->op_sgs_apply_ctx->ceed; 31 32 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data_->sgs_nodal_ceed)); 33 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data_->grad_velo_ceed)); 34 PetscCall(OperatorApplyContextDestroy(sgs_dd_data_->op_nodal_evaluation_ctx)); 35 PetscCall(OperatorApplyContextDestroy(sgs_dd_data_->op_sgs_apply_ctx)); 36 PetscCall(OperatorApplyContextDestroy(sgs_dd_data_->op_nodal_dd_inputs_ctx)); 37 PetscCall(OperatorApplyContextDestroy(sgs_dd_data_->op_nodal_dd_outputs_ctx)); 38 PetscCall(DMDestroy(&sgs_dd_data_->dm_sgs)); 39 PetscCall(DMDestroy(&sgs_dd_data_->dm_dd_inputs)); 40 PetscCall(DMDestroy(&sgs_dd_data_->dm_dd_outputs)); 41 if (sgs_dd_data_->sgs_nodal_inference_ctx) PetscCall(sgs_dd_data_->sgs_nodal_inference_ctx_destroy(sgs_dd_data_->sgs_nodal_inference_ctx)); 42 PetscCall(PetscFree(sgs_dd_data_)); 43 *sgs_dd_data = NULL; 44 PetscFunctionReturn(PETSC_SUCCESS); 45 } 46 47 typedef struct { 48 CeedElemRestriction elem_restr_grid_aniso, elem_restr_sgs; 49 CeedVector grid_aniso_ceed; 50 CeedQFunctionContext sgsdd_qfctx, ifunction_qfctx; 51 SGSModelDDImplementation sgs_dd_model_implementation; 52 } *SgsDDSetupData; 53 54 #define GRAD_VELO_PROJ_KEY "Gradient of Velocity Projection" 55 #define SGS_DD_DATA_KEY "SGS Data Driven Data" 56 57 PetscErrorCode SgsDDSetupDataDestroy(SgsDDSetupData sgs_dd_setup_data) { 58 Ceed ceed; 59 60 PetscFunctionBeginUser; 61 PetscCall(CeedElemRestrictionGetCeed(sgs_dd_setup_data->elem_restr_sgs, &ceed)); 62 63 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_grid_aniso)); 64 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_sgs)); 65 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_setup_data->grid_aniso_ceed)); 66 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->sgsdd_qfctx)); 67 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->ifunction_qfctx)); 68 PetscCall(PetscFree(sgs_dd_setup_data)); 69 PetscCheck(CeedDestroy(&ceed) == CEED_ERROR_SUCCESS, PETSC_COMM_SELF, PETSC_ERR_LIB, "Destroying Ceed object failed"); 70 PetscFunctionReturn(PETSC_SUCCESS); 71 } 72 73 // @brief Create DM for storing subgrid stress at nodes 74 static PetscErrorCode SgsDDCreateDM(DM dm_source, DM *dm_sgs, PetscInt degree, PetscInt q_extra, PetscInt *num_components) { 75 PetscSection section; 76 77 PetscFunctionBeginUser; 78 *num_components = 6; 79 80 PetscCall(DMClone(dm_source, dm_sgs)); 81 PetscCall(DMSetMatrixPreallocateSkip(*dm_sgs, PETSC_TRUE)); 82 PetscCall(PetscObjectSetName((PetscObject)*dm_sgs, "Subgrid Stress Projection")); 83 84 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, num_components, *dm_sgs)); 85 86 PetscCall(DMGetLocalSection(*dm_sgs, §ion)); 87 PetscCall(PetscSectionSetFieldName(section, 0, "")); 88 PetscCall(PetscSectionSetComponentName(section, 0, 0, "KMSubgridStressXX")); 89 PetscCall(PetscSectionSetComponentName(section, 0, 1, "KMSubgridStressYY")); 90 PetscCall(PetscSectionSetComponentName(section, 0, 2, "KMSubgridStressZZ")); 91 PetscCall(PetscSectionSetComponentName(section, 0, 3, "KMSubgridStressYZ")); 92 PetscCall(PetscSectionSetComponentName(section, 0, 4, "KMSubgridStressXZ")); 93 PetscCall(PetscSectionSetComponentName(section, 0, 5, "KMSubgridStressXY")); 94 PetscFunctionReturn(PETSC_SUCCESS); 95 }; 96 97 // @brief Evaluate data-driven SGS using fused method 98 static PetscErrorCode SgsDDNodalStressEval_Fused(Honee honee, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { 99 SgsDDData sgs_dd_data; 100 PetscMemType q_mem_type; 101 102 PetscFunctionBeginUser; 103 PetscCall(HoneeGetContainer(honee, SGS_DD_DATA_KEY, &sgs_dd_data)); 104 PetscCall(VecPetscToCeed(Q_loc, &q_mem_type, honee->q_ceed)); // q_ceed is an implicit input 105 106 PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, SGSNodal_loc, sgs_dd_data->op_nodal_evaluation_ctx)); 107 108 PetscCall(VecCeedToPetsc(honee->q_ceed, q_mem_type, Q_loc)); 109 PetscFunctionReturn(PETSC_SUCCESS); 110 } 111 112 // @brief Create CeedOperator to calculate data-drive SGS at nodes using fused operator 113 static PetscErrorCode SgsDDSetupNodalEvaluation_Fused(Ceed ceed, Honee honee, SgsDDSetupData sgs_dd_setup_data) { 114 SgsDDData sgs_dd_data; 115 CeedQFunction qf_sgs_dd_nodal; 116 CeedOperator op_sgs_dd_nodal; 117 CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso; 118 PetscInt dim; 119 CeedVector inv_multiplicity; 120 CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs, elem_restr_q; 121 PetscInt height = 0, dm_field = 0; 122 NodalProjectionData grad_velo_proj; 123 124 PetscFunctionBeginUser; 125 PetscCall(DMGetDimension(honee->dm, &dim)); 126 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &elem_restr_q)); 127 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_x, &num_comp_x)); 128 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_q, &num_comp_q)); 129 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); 130 PetscCall(HoneeGetContainer(honee, SGS_DD_DATA_KEY, &sgs_dd_data)); 131 PetscCall(HoneeGetContainer(honee, GRAD_VELO_PROJ_KEY, &grad_velo_proj)); 132 133 { // Get velocity gradient information 134 CeedOperatorField op_field; 135 PetscCallCeed(ceed, CeedOperatorGetFieldByName(grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); 136 PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); 137 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); 138 } 139 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, &elem_restr_sgs)); 140 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); 141 142 PetscCall(GetInverseMultiplicity(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, PETSC_FALSE, 143 &elem_restr_inv_multiplicity, &inv_multiplicity)); 144 145 // -- Create operator for SGS DD model nodal evaluation 146 switch (honee->phys->state_var) { 147 case STATEVAR_PRIMITIVE: 148 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Prim, ComputeSgsDDNodal_Prim_loc, &qf_sgs_dd_nodal)); 149 break; 150 case STATEVAR_CONSERVATIVE: 151 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Conserv, ComputeSgsDDNodal_Conserv_loc, &qf_sgs_dd_nodal)); 152 break; 153 case STATEVAR_ENTROPY: 154 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Entropy, ComputeSgsDDNodal_Entropy_loc, &qf_sgs_dd_nodal)); 155 break; 156 } 157 158 // Mesh/geometry order and solution basis order may differ, therefore must interpolate 159 CeedBasis basis_x_to_q, basis_q; 160 PetscCall(DMPlexCeedBasisCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &basis_q)); 161 PetscCallCeed(ceed, CeedBasisCreateProjection(honee->basis_x, basis_q, &basis_x_to_q)); 162 163 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_nodal, sgs_dd_setup_data->sgsdd_qfctx)); 164 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "q", num_comp_q, CEED_EVAL_NONE)); 165 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "x", num_comp_x, CEED_EVAL_INTERP)); 166 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); 167 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 168 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "inverse multiplicity", 1, CEED_EVAL_NONE)); 169 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_nodal, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); 170 171 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_nodal, NULL, NULL, &op_sgs_dd_nodal)); 172 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "q", elem_restr_q, CEED_BASIS_NONE, honee->q_ceed)); 173 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "x", honee->elem_restr_x, basis_x_to_q, honee->x_coord)); 174 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 175 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 176 sgs_dd_setup_data->grid_aniso_ceed)); 177 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 178 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 179 180 PetscCall(OperatorApplyContextCreate(grad_velo_proj->dm, sgs_dd_data->dm_sgs, ceed, op_sgs_dd_nodal, NULL, sgs_dd_data->sgs_nodal_ceed, NULL, NULL, 181 &sgs_dd_data->op_nodal_evaluation_ctx)); 182 183 sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; 184 sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Fused; 185 186 PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); 187 PetscCallCeed(ceed, CeedBasisDestroy(&basis_x_to_q)); 188 PetscCallCeed(ceed, CeedBasisDestroy(&basis_q)); 189 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_q)); 190 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); 191 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_grad_velo)); 192 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_nodal)); 193 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_nodal)); 194 PetscFunctionReturn(PETSC_SUCCESS); 195 } 196 197 // @brief Setup data-driven model inference using libCEED native implementation 198 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Ceed(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, 199 CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, 200 CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, 201 void **ctx) { 202 CeedQFunction qf_sgs_dd_inference; 203 CeedOperator op_sgs_dd_inference; 204 OperatorApplyContext *op_context = (OperatorApplyContext *)ctx; 205 206 PetscFunctionBeginUser; 207 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inference, ComputeSgsDDNodal_Sequential_Inference_loc, 208 &qf_sgs_dd_inference)); 209 210 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inference, sgs_dd_setup_data->sgsdd_qfctx)); 211 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); 212 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "inverse multiplicity", 1, CEED_EVAL_NONE)); 213 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inference, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); 214 215 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inference, NULL, NULL, &op_sgs_dd_inference)); 216 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 217 PetscCallCeed(ceed, 218 CeedOperatorSetField(op_sgs_dd_inference, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 219 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 220 221 PetscCall(OperatorApplyContextCreate(sgs_dd_data->dm_dd_inputs, sgs_dd_data->dm_dd_outputs, ceed, op_sgs_dd_inference, NULL, NULL, NULL, NULL, 222 op_context)); 223 sgs_dd_data->sgs_nodal_inference_ctx_destroy = (PetscErrorCode(*)(void *))OperatorApplyContextDestroy; 224 225 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inference)); 226 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inference)); 227 PetscFunctionReturn(PETSC_SUCCESS); 228 } 229 230 // @brief Perform data-driven model inference using libCEED native implementation 231 PetscErrorCode SgsDDNodalStressEval_Sequential_Ceed(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { 232 OperatorApplyContext op_context = *(OperatorApplyContext *)ctx; 233 234 PetscFunctionBeginUser; 235 PetscCall(PetscLogEventBegin(HONEE_SgsModelDDData, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 236 PetscCall(PetscLogEventBegin(HONEE_SgsModelDDInference, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 237 PetscCall(PetscLogGpuTimeBegin()); 238 PetscCall(ApplyCeedOperatorLocalToLocal(DD_Inputs_loc, DD_Outputs_loc, op_context)); 239 PetscCall(PetscLogGpuTimeEnd()); 240 PetscCall(PetscLogEventEnd(HONEE_SgsModelDDInference, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 241 PetscCall(PetscLogEventEnd(HONEE_SgsModelDDData, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 242 PetscFunctionReturn(PETSC_SUCCESS); 243 } 244 245 // @brief Setup data-driven model inference using libtorch 246 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Torch(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, 247 CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, 248 CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, 249 void **ctx) { 250 const char *ceed_resource; 251 char model_path[PETSC_MAX_PATH_LEN] = ""; 252 TorchDeviceType model_device_type; 253 254 PetscFunctionBeginUser; 255 PetscCallCeed(ceed, CeedGetResource(ceed, &ceed_resource)); 256 if (strstr(ceed_resource, "/gpu/cuda")) model_device_type = TORCH_DEVICE_CUDA; 257 else if (strstr(ceed_resource, "/gpu/hip")) model_device_type = TORCH_DEVICE_HIP; 258 // On-device XPU is not working reliably currently, default to CPU inference evaluation 259 // else if (strstr(ceed_resource, "/gpu/sycl")) model_device_type = TORCH_DEVICE_XPU; 260 else model_device_type = TORCH_DEVICE_CPU; 261 PetscCall(PetscOptionsGetEnum(NULL, NULL, "-sgs_model_dd_torch_model_device", TorchDeviceTypes, (PetscEnum *)&model_device_type, NULL)); 262 PetscCall(PetscOptionsGetString(NULL, NULL, "-sgs_model_dd_torch_model_path", model_path, sizeof(model_path), NULL)); 263 264 PetscCall(LoadModel_Torch(model_path, model_device_type)); 265 PetscFunctionReturn(PETSC_SUCCESS); 266 } 267 268 // @brief Perform data-driven model inference using libtorch 269 static PetscErrorCode SgsDDNodalStressEval_Sequential_Torch(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { 270 static PetscBool run_through = PETSC_FALSE; 271 272 PetscFunctionBeginUser; 273 if (!run_through) { 274 PetscCall(VecViewFromOptions(DD_Inputs_loc, NULL, "-dd_inputs_loc_view")); 275 } 276 PetscCall(ModelInference_Torch(DD_Inputs_loc, DD_Outputs_loc)); 277 if (!run_through) { 278 PetscCall(VecViewFromOptions(DD_Outputs_loc, NULL, "-dd_outputs_loc_view")); 279 run_through = PETSC_TRUE; 280 } 281 PetscFunctionReturn(PETSC_SUCCESS); 282 } 283 284 // @brief Evaluate data-driven SGS using sequential method 285 PetscErrorCode SgsDDNodalStressEval_Sequential(Honee honee, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { 286 SgsDDData sgs_dd_data; 287 PetscMemType q_mem_type; 288 Vec DD_Inputs_loc, DD_Outputs_loc; 289 290 PetscFunctionBeginUser; 291 PetscCall(HoneeGetContainer(honee, SGS_DD_DATA_KEY, &sgs_dd_data)); 292 PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); 293 PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); 294 PetscCall(VecPetscToCeed(Q_loc, &q_mem_type, honee->q_ceed)); // q_ceed is an implicit input 295 296 PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, DD_Inputs_loc, sgs_dd_data->op_nodal_dd_inputs_ctx)); 297 PetscCall(sgs_dd_data->sgs_nodal_inference(DD_Inputs_loc, DD_Outputs_loc, &sgs_dd_data->sgs_nodal_inference_ctx)); 298 PetscCall(ApplyCeedOperatorLocalToLocal(DD_Outputs_loc, SGSNodal_loc, sgs_dd_data->op_nodal_dd_outputs_ctx)); 299 300 PetscCall(VecCeedToPetsc(honee->q_ceed, q_mem_type, Q_loc)); 301 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); 302 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); 303 PetscFunctionReturn(PETSC_SUCCESS); 304 } 305 306 // @brief Create CeedOperator to calculate data-drive SGS at nodes using sequentially-applied operators 307 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential(Ceed ceed, Honee honee, SgsDDSetupData sgs_dd_setup_data) { 308 SgsDDData sgs_dd_data; 309 CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso, num_comp_eigvec = 9 + 1; 310 PetscInt dim; 311 CeedVector inv_multiplicity, eigvec; 312 NodalProjectionData grad_velo_proj; 313 CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs, elem_restr_eigvec, elem_restr_dd_inputs, 314 elem_restr_dd_outputs, elem_restr_q; 315 PetscInt height = 0, dm_field = 0; 316 317 PetscFunctionBeginUser; 318 PetscCall(HoneeGetContainer(honee, SGS_DD_DATA_KEY, &sgs_dd_data)); 319 { // Create DMs for data-driven input and output values 320 PetscSection section; 321 PetscInt degree, q_extra; 322 { // Get degree and number of quadrature points from dm_sgs 323 PetscFE fe; 324 PetscSpace basis; 325 PetscQuadrature quadrature; 326 PetscInt num_qpnts; 327 PetscCall(DMGetField(sgs_dd_data->dm_sgs, 0, NULL, (PetscObject *)&fe)); 328 PetscCall(PetscFEGetBasisSpace(fe, &basis)); 329 PetscCall(PetscSpaceGetDegree(basis, °ree, NULL)); 330 PetscCall(PetscFEGetQuadrature(fe, &quadrature)); 331 PetscCall(PetscQuadratureGetOrder(quadrature, &num_qpnts)); 332 q_extra = degree - num_qpnts; 333 } 334 335 PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_inputs)); 336 PetscCall(DMSetMatrixPreallocateSkip(sgs_dd_data->dm_dd_inputs, PETSC_TRUE)); 337 PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_inputs, "Data-Driven Model Inputs")); 338 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_inputs, sgs_dd_data->dm_dd_inputs)); 339 PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_inputs, §ion)); 340 PetscCall(PetscSectionSetFieldName(section, 0, "")); 341 for (CeedInt i = 0; i < sgs_dd_data->num_comp_inputs; i++) { 342 char component_name[PETSC_MAX_PATH_LEN]; 343 344 PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenInput%" CeedInt_FMT, i + 1)); 345 PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); 346 } 347 348 PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_outputs)); 349 PetscCall(DMSetMatrixPreallocateSkip(sgs_dd_data->dm_dd_outputs, PETSC_TRUE)); 350 PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_outputs, "Data-Driven Model Outputs")); 351 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_outputs, sgs_dd_data->dm_dd_outputs)); 352 PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_outputs, §ion)); 353 PetscCall(PetscSectionSetFieldName(section, 0, "")); 354 for (CeedInt i = 0; i < sgs_dd_data->num_comp_outputs; i++) { 355 char component_name[PETSC_MAX_PATH_LEN]; 356 357 PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenOutput%" CeedInt_FMT, i + 1)); 358 PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); 359 } 360 } 361 362 PetscCall(DMGetDimension(honee->dm, &dim)); 363 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &elem_restr_q)); 364 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_x, &num_comp_x)); 365 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_q, &num_comp_q)); 366 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); 367 PetscCall(HoneeGetContainer(honee, GRAD_VELO_PROJ_KEY, &grad_velo_proj)); 368 369 { // Get velocity gradient information 370 CeedOperatorField op_field; 371 PetscCallCeed(ceed, CeedOperatorGetFieldByName(grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); 372 PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); 373 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); 374 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_grad_velo, &sgs_dd_data->grad_velo_ceed, NULL)); 375 } 376 377 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, &elem_restr_sgs)); 378 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); 379 PetscCall(DMPlexCeedElemRestrictionCollocatedCreate(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, num_comp_eigvec, 380 &elem_restr_eigvec)); 381 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_eigvec, &eigvec, NULL)); 382 383 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_dd_inputs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, 384 &elem_restr_dd_inputs)); 385 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_dd_outputs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, 386 &elem_restr_dd_outputs)); 387 388 PetscCall(GetInverseMultiplicity(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, PETSC_FALSE, 389 &elem_restr_inv_multiplicity, &inv_multiplicity)); 390 391 { // Create operator for data-driven input evaluation 392 CeedQFunction qf_sgs_dd_inputs; 393 CeedOperator op_sgs_dd_inputs; 394 395 switch (honee->phys->state_var) { 396 case STATEVAR_PRIMITIVE: 397 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Prim, 398 ComputeSgsDDNodal_Sequential_Inputs_Prim_loc, &qf_sgs_dd_inputs)); 399 break; 400 case STATEVAR_CONSERVATIVE: 401 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Conserv, 402 ComputeSgsDDNodal_Sequential_Inputs_Conserv_loc, &qf_sgs_dd_inputs)); 403 break; 404 case STATEVAR_ENTROPY: 405 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Entropy, 406 ComputeSgsDDNodal_Sequential_Inputs_Entropy_loc, &qf_sgs_dd_inputs)); 407 break; 408 } 409 410 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inputs, sgs_dd_setup_data->sgsdd_qfctx)); 411 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "q", num_comp_q, CEED_EVAL_NONE)); 412 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); 413 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 414 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "inverse multiplicity", 1, CEED_EVAL_NONE)); 415 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inputs, "eigenvectors", num_comp_eigvec, CEED_EVAL_NONE)); 416 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inputs, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); 417 418 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inputs, NULL, NULL, &op_sgs_dd_inputs)); 419 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "q", elem_restr_q, CEED_BASIS_NONE, honee->q_ceed)); 420 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 421 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 422 sgs_dd_setup_data->grid_aniso_ceed)); 423 PetscCallCeed(ceed, 424 CeedOperatorSetField(op_sgs_dd_inputs, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 425 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "eigenvectors", elem_restr_eigvec, CEED_BASIS_NONE, eigvec)); 426 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 427 428 PetscCall(OperatorApplyContextCreate(grad_velo_proj->dm, sgs_dd_data->dm_dd_inputs, ceed, op_sgs_dd_inputs, NULL, NULL, NULL, NULL, 429 &sgs_dd_data->op_nodal_dd_inputs_ctx)); 430 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inputs)); 431 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inputs)); 432 } 433 434 { // Create operator for data-driven output handling 435 CeedQFunction qf_sgs_dd_outputs; 436 CeedOperator op_sgs_dd_outputs; 437 438 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Outputs, ComputeSgsDDNodal_Sequential_Outputs_loc, 439 &qf_sgs_dd_outputs)); 440 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_outputs, sgs_dd_setup_data->sgsdd_qfctx)); 441 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); 442 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 443 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "inverse multiplicity", 1, CEED_EVAL_NONE)); 444 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "eigenvectors", num_comp_eigvec, CEED_EVAL_NONE)); 445 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_outputs, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); 446 447 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_outputs, NULL, NULL, &op_sgs_dd_outputs)); 448 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 449 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 450 sgs_dd_setup_data->grid_aniso_ceed)); 451 PetscCallCeed(ceed, 452 CeedOperatorSetField(op_sgs_dd_outputs, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 453 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "eigenvectors", elem_restr_eigvec, CEED_BASIS_NONE, eigvec)); 454 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 455 456 PetscCall(OperatorApplyContextCreate(sgs_dd_data->dm_dd_outputs, sgs_dd_data->dm_sgs, ceed, op_sgs_dd_outputs, NULL, sgs_dd_data->sgs_nodal_ceed, 457 NULL, NULL, &sgs_dd_data->op_nodal_dd_outputs_ctx)); 458 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_outputs)); 459 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_outputs)); 460 } 461 462 sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Sequential; 463 464 if (sgs_dd_setup_data->sgs_dd_model_implementation == SGS_MODEL_DD_SEQENTIAL_CEED) { 465 sgs_dd_data->sgs_nodal_inference = SgsDDNodalStressEval_Sequential_Ceed; 466 PetscCall(SgsDDSetupNodalEvaluation_Sequential_Ceed(ceed, sgs_dd_data, sgs_dd_setup_data, elem_restr_dd_inputs, elem_restr_dd_outputs, 467 elem_restr_inv_multiplicity, inv_multiplicity, &sgs_dd_data->sgs_nodal_inference_ctx)); 468 } else if (sgs_dd_setup_data->sgs_dd_model_implementation == SGS_MODEL_DD_SEQENTIAL_TORCH) { 469 sgs_dd_data->sgs_nodal_inference = SgsDDNodalStressEval_Sequential_Torch; 470 PetscCall(SgsDDSetupNodalEvaluation_Sequential_Torch(ceed, sgs_dd_data, sgs_dd_setup_data, elem_restr_dd_inputs, elem_restr_dd_outputs, 471 elem_restr_inv_multiplicity, inv_multiplicity, &sgs_dd_data->sgs_nodal_inference_ctx)); 472 } 473 474 sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; 475 476 PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); 477 PetscCallCeed(ceed, CeedVectorDestroy(&eigvec)); 478 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); 479 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_eigvec)); 480 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_dd_inputs)); 481 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_dd_outputs)); 482 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_grad_velo)); 483 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_q)); 484 PetscFunctionReturn(PETSC_SUCCESS); 485 } 486 487 // @brief Create CeedOperator to compute SGS contribution to the residual 488 static PetscErrorCode SgsSetupNodalIFunction(Ceed ceed, Honee honee, SgsDDSetupData sgs_dd_setup_data) { 489 SgsDDData sgs_dd_data; 490 CeedInt q_data_size; 491 PetscInt dim, num_comp_q, num_comp_x; 492 CeedQFunction qf_sgs_apply; 493 CeedOperator op_sgs_apply; 494 CeedBasis basis_sgs, basis_q; 495 CeedVector q_data; 496 CeedElemRestriction elem_restr_qd, elem_restr_q; 497 498 PetscFunctionBeginUser; 499 PetscCall(HoneeGetContainer(honee, SGS_DD_DATA_KEY, &sgs_dd_data)); 500 PetscCall(DMGetDimension(honee->dm, &dim)); 501 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &elem_restr_q)); 502 PetscCall(DMGetFieldNumComps(honee->dm, 0, &num_comp_q)); 503 PetscCall(DMGetCoordinateNumComps(honee->dm, &num_comp_x)); 504 505 { 506 PetscInt height = 0, dm_field = 0; 507 508 PetscCall(DMPlexCeedBasisCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &basis_q)); 509 PetscCall(DMPlexCeedBasisCreate(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, height, dm_field, &basis_sgs)); 510 PetscCall(QDataGet(ceed, sgs_dd_data->dm_sgs, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, honee->elem_restr_x, honee->basis_x, honee->x_coord, 511 &elem_restr_qd, &q_data, &q_data_size)); 512 } 513 514 switch (honee->phys->state_var) { 515 case STATEVAR_PRIMITIVE: 516 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Prim, IFunction_NodalSgs_Prim_loc, &qf_sgs_apply)); 517 break; 518 case STATEVAR_CONSERVATIVE: 519 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Conserv, IFunction_NodalSgs_Conserv_loc, &qf_sgs_apply)); 520 break; 521 case STATEVAR_ENTROPY: 522 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Entropy, IFunction_NodalSgs_Entropy_loc, &qf_sgs_apply)); 523 break; 524 } 525 526 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_apply, sgs_dd_setup_data->ifunction_qfctx)); 527 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "q", num_comp_q, CEED_EVAL_INTERP)); 528 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "qdata", q_data_size, CEED_EVAL_NONE)); 529 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_INTERP)); 530 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_apply, "Grad_v", num_comp_q * dim, CEED_EVAL_GRAD)); 531 532 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_apply, NULL, NULL, &op_sgs_apply)); 533 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "q", elem_restr_q, basis_q, CEED_VECTOR_ACTIVE)); 534 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "qdata", elem_restr_qd, CEED_BASIS_NONE, q_data)); 535 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "km_sgs", sgs_dd_setup_data->elem_restr_sgs, basis_sgs, sgs_dd_data->sgs_nodal_ceed)); 536 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "Grad_v", elem_restr_q, basis_q, CEED_VECTOR_ACTIVE)); 537 538 PetscCall(OperatorApplyContextCreate(honee->dm, honee->dm, ceed, op_sgs_apply, honee->q_ceed, honee->g_ceed, NULL, NULL, 539 &sgs_dd_data->op_sgs_apply_ctx)); 540 541 PetscCallCeed(ceed, CeedVectorDestroy(&q_data)); 542 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_qd)); 543 PetscCallCeed(ceed, CeedBasisDestroy(&basis_sgs)); 544 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_apply)); 545 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_apply)); 546 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_q)); 547 PetscCallCeed(ceed, CeedBasisDestroy(&basis_q)); 548 PetscFunctionReturn(PETSC_SUCCESS); 549 } 550 551 // @brief Calculate and add data-driven SGS residual to the global residual 552 PetscErrorCode SgsDDApplyIFunction(Honee honee, const Vec Q_loc, Vec G_loc) { 553 SgsDDData sgs_dd_data; 554 Vec VelocityGradient, SGSNodal_loc; 555 PetscMemType sgs_nodal_mem_type; 556 NodalProjectionData grad_velo_proj; 557 558 PetscFunctionBeginUser; 559 PetscCall(PetscLogEventBegin(HONEE_SgsModel, Q_loc, G_loc, NULL, NULL)); 560 PetscCall(HoneeGetContainer(honee, SGS_DD_DATA_KEY, &sgs_dd_data)); 561 PetscCall(HoneeGetContainer(honee, GRAD_VELO_PROJ_KEY, &grad_velo_proj)); 562 PetscCall(DMGetGlobalVector(grad_velo_proj->dm, &VelocityGradient)); 563 PetscCall(VelocityGradientProjectionApply(grad_velo_proj, Q_loc, VelocityGradient)); 564 565 // -- Compute Nodal SGS tensor 566 PetscCall(DMGetLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); 567 PetscCall(sgs_dd_data->sgs_nodal_eval(honee, Q_loc, VelocityGradient, SGSNodal_loc)); 568 569 // -- Compute contribution of the SGS stress 570 PetscCall(VecPetscToCeed(SGSNodal_loc, &sgs_nodal_mem_type, sgs_dd_data->sgs_nodal_ceed)); // sgs_nodal_ceed is an implicit input 571 PetscCall(ApplyAddCeedOperatorLocalToLocal(Q_loc, G_loc, sgs_dd_data->op_sgs_apply_ctx)); 572 573 // -- Return local SGS vector 574 PetscCall(VecCeedToPetsc(sgs_dd_data->sgs_nodal_ceed, sgs_nodal_mem_type, SGSNodal_loc)); 575 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); 576 PetscCall(DMRestoreGlobalVector(grad_velo_proj->dm, &VelocityGradient)); 577 PetscCall(PetscLogEventEnd(HONEE_SgsModel, Q_loc, G_loc, NULL, NULL)); 578 PetscFunctionReturn(PETSC_SUCCESS); 579 } 580 581 // @brief B = A^T, A is NxM, B is MxN 582 static PetscErrorCode TransposeMatrix(const PetscScalar *A, PetscScalar *B, const PetscInt N, const PetscInt M) { 583 PetscFunctionBeginUser; 584 for (PetscInt i = 0; i < N; i++) { 585 for (PetscInt j = 0; j < M; j++) { 586 B[j * N + i] = A[i * M + j]; 587 } 588 } 589 PetscFunctionReturn(PETSC_SUCCESS); 590 } 591 592 // @brief Read neural network coefficients from file and put into context struct 593 static PetscErrorCode SgsDDContextFill(MPI_Comm comm, char data_dir[PETSC_MAX_PATH_LEN], SgsDDContext *psgsdd_ctx) { 594 SgsDDContext sgsdd_ctx; 595 PetscInt num_inputs = (*psgsdd_ctx)->num_inputs, num_outputs = (*psgsdd_ctx)->num_outputs, num_neurons = (*psgsdd_ctx)->num_neurons; 596 char file_path[PETSC_MAX_PATH_LEN]; 597 PetscScalar *temp; 598 599 PetscFunctionBeginUser; 600 { 601 SgsDDContext sgsdd_temp; 602 PetscCall(PetscNew(&sgsdd_temp)); 603 *sgsdd_temp = **psgsdd_ctx; 604 sgsdd_temp->offsets.bias1 = 0; 605 sgsdd_temp->offsets.bias2 = sgsdd_temp->offsets.bias1 + num_neurons; 606 sgsdd_temp->offsets.weight1 = sgsdd_temp->offsets.bias2 + num_neurons; 607 sgsdd_temp->offsets.weight2 = sgsdd_temp->offsets.weight1 + num_neurons * num_inputs; 608 sgsdd_temp->offsets.out_scaling = sgsdd_temp->offsets.weight2 + num_inputs * num_neurons; 609 PetscInt total_num_scalars = sgsdd_temp->offsets.out_scaling + 2 * num_outputs; 610 sgsdd_temp->total_bytes = sizeof(*sgsdd_ctx) + total_num_scalars * sizeof(sgsdd_ctx->data[0]); 611 PetscCall(PetscMalloc(sgsdd_temp->total_bytes, &sgsdd_ctx)); 612 *sgsdd_ctx = *sgsdd_temp; 613 PetscCall(PetscFree(sgsdd_temp)); 614 } 615 616 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b1.dat")); 617 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias1])); 618 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b2.dat")); 619 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias2])); 620 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "OutScaling.dat")); 621 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.out_scaling])); 622 623 { 624 PetscCall(PetscMalloc1(num_inputs * num_neurons, &temp)); 625 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w1.dat")); 626 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); 627 PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight1], num_inputs, num_neurons)); 628 PetscCall(PetscFree(temp)); 629 } 630 { 631 PetscCall(PetscMalloc1(num_outputs * num_neurons, &temp)); 632 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w2.dat")); 633 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); 634 PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight2], num_neurons, num_outputs)); 635 PetscCall(PetscFree(temp)); 636 } 637 638 PetscCall(PetscFree(*psgsdd_ctx)); 639 *psgsdd_ctx = sgsdd_ctx; 640 PetscFunctionReturn(PETSC_SUCCESS); 641 } 642 643 PetscErrorCode SgsDDSetup(Ceed ceed, Honee honee, ProblemData problem) { 644 PetscReal alpha = 0; 645 SgsDDContext sgsdd_ctx; 646 MPI_Comm comm = honee->comm; 647 char sgs_dd_dir[PETSC_MAX_PATH_LEN] = "./dd_sgs_parameters"; 648 SgsDDSetupData sgs_dd_setup_data; 649 NewtonianIdealGasContext newt_ctx; 650 NodalProjectionData grad_velo_proj; 651 SgsDDData sgs_dd_data; 652 653 PetscFunctionBeginUser; 654 { 655 CeedElemRestriction elem_restr_q; 656 CeedBasis basis_q; 657 658 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &elem_restr_q)); 659 PetscCall(DMPlexCeedBasisCreate(ceed, honee->dm, DMLABEL_DEFAULT, DMLABEL_DEFAULT_VALUE, 0, 0, &basis_q)); 660 // TODO: Should probably move the elem_restr_q and basis_q creation to inside the velocity gradient projection setup??? 661 PetscCall(VelocityGradientProjectionSetup(ceed, honee, problem, honee->phys->state_var, elem_restr_q, basis_q, &grad_velo_proj)); 662 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_q)); 663 PetscCallCeed(ceed, CeedBasisDestroy(&basis_q)); 664 } 665 PetscCall(HoneeSetContainer(honee, GRAD_VELO_PROJ_KEY, grad_velo_proj, (PetscCtxDestroyFn *)NodalProjectionDataDestroy)); 666 667 PetscCall(PetscNew(&sgs_dd_data)); 668 sgs_dd_data->num_comp_inputs = 6; 669 sgs_dd_data->num_comp_outputs = 6; 670 PetscCall(HoneeSetContainer(honee, SGS_DD_DATA_KEY, sgs_dd_data, (PetscCtxDestroyFn *)SgsDDDataDestroy)); 671 672 PetscCall(PetscNew(&sgs_dd_setup_data)); 673 674 PetscOptionsBegin(comm, NULL, "SGS Data-Driven Model Options", NULL); 675 PetscCall(PetscOptionsReal("-sgs_model_dd_leakyrelu_alpha", "Slope parameter for Leaky ReLU activation function", NULL, alpha, &alpha, NULL)); 676 PetscCall(PetscOptionsString("-sgs_model_dd_parameter_dir", "Path to directory with model parameters (weights, biases, etc.)", NULL, sgs_dd_dir, 677 sgs_dd_dir, sizeof(sgs_dd_dir), NULL)); 678 PetscCall(PetscOptionsDeprecated("-sgs_model_dd_use_fused", NULL, "libCEED 0.12.0", "Use -sgs_model_dd_type instead")); 679 sgs_dd_setup_data->sgs_dd_model_implementation = SGS_MODEL_DD_FUSED; 680 PetscCall(PetscOptionsEnum("-sgs_model_dd_implementation", "Data-Driven SGS model implementation", NULL, SGSModelDDImplementations, 681 (PetscEnum)sgs_dd_setup_data->sgs_dd_model_implementation, (PetscEnum *)&sgs_dd_setup_data->sgs_dd_model_implementation, 682 NULL)); 683 PetscOptionsEnd(); 684 685 PetscCall(PetscNew(&sgsdd_ctx)); 686 *sgsdd_ctx = (struct SgsDDContext_){ 687 .num_layers = 1, 688 .num_inputs = 6, 689 .num_outputs = 6, 690 .num_neurons = 20, 691 .alpha = alpha, 692 }; 693 694 PetscCall(SgsDDContextFill(comm, sgs_dd_dir, &sgsdd_ctx)); 695 696 // -- Create DM for storing SGS tensor at nodes 697 PetscCall(SgsDDCreateDM(honee->dm, &sgs_dd_data->dm_sgs, honee->app_ctx->degree, honee->app_ctx->q_extra, &sgs_dd_data->num_comp_sgs)); 698 699 PetscCallCeed(ceed, CeedQFunctionContextGetDataRead(problem->apply_vol_ifunction.qfctx, CEED_MEM_HOST, &newt_ctx)); 700 sgsdd_ctx->newt_ctx = *newt_ctx; 701 PetscCallCeed(ceed, CeedQFunctionContextRestoreDataRead(problem->apply_vol_ifunction.qfctx, &newt_ctx)); 702 PetscCallCeed(ceed, CeedQFunctionContextCreate(honee->ceed, &sgs_dd_setup_data->sgsdd_qfctx)); 703 PetscCallCeed(ceed, 704 CeedQFunctionContextSetData(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, CEED_USE_POINTER, sgsdd_ctx->total_bytes, sgsdd_ctx)); 705 PetscCallCeed(ceed, CeedQFunctionContextSetDataDestroy(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, FreeContextPetsc)); 706 707 PetscCallCeed(ceed, CeedQFunctionContextReferenceCopy(problem->apply_vol_ifunction.qfctx, &sgs_dd_setup_data->ifunction_qfctx)); 708 709 // -- Compute and store anisotropy tensor 710 PetscCall(GridAnisotropyTensorProjectionSetupApply(ceed, honee, &sgs_dd_setup_data->elem_restr_grid_aniso, &sgs_dd_setup_data->grid_aniso_ceed)); 711 712 // -- Create Nodal Evaluation Operator 713 switch (sgs_dd_setup_data->sgs_dd_model_implementation) { 714 case SGS_MODEL_DD_FUSED: 715 PetscCall(SgsDDSetupNodalEvaluation_Fused(ceed, honee, sgs_dd_setup_data)); 716 break; 717 case SGS_MODEL_DD_SEQENTIAL_CEED: 718 case SGS_MODEL_DD_SEQENTIAL_TORCH: 719 PetscCall(SgsDDSetupNodalEvaluation_Sequential(ceed, honee, sgs_dd_setup_data)); 720 break; 721 } 722 723 // -- Create Operator to evalutate residual of SGS stress 724 PetscCall(SgsSetupNodalIFunction(ceed, honee, sgs_dd_setup_data)); 725 726 PetscCall(SgsDDSetupDataDestroy(sgs_dd_setup_data)); 727 PetscFunctionReturn(PETSC_SUCCESS); 728 } 729